This paper presents an exploratory study, which uses dynamic social network analysis of posts from the Tumblr blogging site relating to the Tate galleries to observe user community change. The findings of this research were presented at the 1st Int. Workshop on Semantic Change & Evolving Semantics (SuCCESS'16) organised by PERICLES partners to explore emerging research in the areas of semantic change and evolving semantics

Gill, Alastair

Tonkin, Emma L.

Gill, Alastair J.

Tonkin, E.

NEUROSURGERY ENTHUSIASTIC WOMEN SOCIETY

Understanding User Communities from Social Network Data

Understanding user communities and identifying change within them is important for a range of organisations, including those concerned with cultural heritage. In this paper we present an exploratory study which uses dynamic social network analysis of posts from the Tumblr blogging site relating to the Tate galleries to observe user community change. In addition, we apply twoversions of topic modeling to the text of the posts in order to examine user community concerns and changes within these over time. In general, the most noticeable changes in topics within the user communities tends to occur when there has been a major physical change in the social network, such as an increase in membership, with these new members bringing new concerns andinterests. After summarising the findings of our approach in detail, we propose practical methods which could be incorporated in to real time monitoring of user community change by cultural heritage organisations

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Understanding user communities from social network data

https://research-information.bris.ac.uk/files/112045322/Emma_Tonkin_Understanding_User_Communities_from_Social_Network_Data.pdf

Understanding user communities from social network data

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